2018年沈阳市一次空气重污染过程分析

金思宇; 马云峰; 王琦; 赵帝; 王劢博; 刘淇尧

doi:10.13205/j.hjgc.202103017

2018年沈阳市一次空气重污染过程分析

doi: 10.13205/j.hjgc.202103017

1. 沈阳航空航天大学能源与环境学院, 沈阳 110131;
2. 辽宁工业大学, 辽宁锦州 121001;
3. 沈阳环境科学研究院, 沈阳 110167

基金项目:

航空科学基金（2017ZA54001）。

详细信息

作者简介:
金思宇(1994-),男,硕士,主要研究方向为空气污染控制工程。jinsiyu7461@163.com

通讯作者:
马云峰。rcdxph@126.com

计量
- 文章访问数: 147
- HTML全文浏览量: 7
- PDF下载量: 14
- 被引次数: 0
出版历程
- 收稿日期: 2020-04-16
- 网络出版日期: 2021-07-19

ANALYSIS OF A HEAVY AIR POLLUTION PROCESS IN SHENYANG IN 2018

1. School of Energy and Environment, Shenyang Aerospace University, Shenyang 110131, China;
2. Liaoning University of Technology, Jinzhou 121001, China;
3. Shenyang Academy of Environmental Sciences, Shenyang 110167, China

摘要

摘要: 采用数值模拟与观测资料相结合的方式，对沈阳市2018年1—3月发生的1次重污染过程的气象条件、天气形势和潜在来源进行初步分析。结果表明：重污染过程与当地的气象条件密切相关，沈阳市重污染期间的PM_2.5和PM₁₀浓度与风速和气温呈负相关，与气压和相对湿度呈正相关。中度、重度及以上污染主要集中于相对湿度为50%~70%条件下；重污染主要在高压、高湿、低风速、近地层逆温的天气形势下，污染物不易扩散。高空若有暖平流、受槽前脊后暖平流的影响也会导致区域空气质量下降。潜在来源分析表明，沈阳市的气团共有4条运输路线，其中来自内蒙古的轨迹携带了大量的PM₁₀；属于簇团2（34.72%）的内蒙古自治区中东部，属于簇团3（21.94%）的河北省以及属于簇团4（13.06%）的吉林省西部地区对沈阳市的污染贡献比较高。
- 重污染 /
- WRF /
- 轨迹聚类 /
- 潜在源区
Abstract: The meteorological conditions, weather situation and potential sources of a heavy pollution process that occurred in Shenyang from January to March 2018 were analyzed by combining numerical model and observation data. The results showed that the heavy pollution process was closely related to the local meteorological conditions. The concentration of PM_2.5 and PM₁₀ during the heavy pollution period in Shenyang had a negative correlation with wind speed and temperature. During heavy pollution, northeast wind and northeast wind prevail, and the wind speed was relatively low, which had a positive correlation with air pressure and relative humidity. Moderate, severe and above polluting weather was mainly concentrated in the weather with relative humidity between 50% and 70%; while heavy pollution mainly under the weather conditions of high pressure, high humidity, low wind speed, and near-surface temperature inversion, pollutants were not easy to spread; if there was warm advection at high altitude, the influence of warm advection after the front ridge of the trough would also cause regional air quality to decline. There were 4 transportation routes in the air mass in Shenyang:cluster 1 in the north-northwest direction accounted for 30.28% of the total trajectory; cluster 2 in the northwest direction accounted for 34.72%, compared with 21.94% of cluster 3, and 13.06% of cluster 4; the trajectory from Inner Mongolia carried a large amount of PM₁₀. The central and eastern Inner Mongolia Autonomous Region (cluster 2), Hebei province (cluster 3) and the western Jilin province (cluster 4) had a relatively higher contribution to the pollution in Shenyang.
- heavy pollution /
- WRF /
- trajectory clustering /
- potential source area

HTML全文

参考文献(35)

[1]	HUANG R J, ZHANG Y L, CARLO B, et al. High secondary aerosol contribution to particulate pollution during haze events in china[J]. Nature, 2014, 514(7521):218-222.
[2]	MIAO Y C, GUO J P, LIU S H, et al. Impacts of synoptic condition and planetary boundary layer structure on the trans-boundary aerosol transport from Beijing-Tianjin-Hebei region to northeast China[J]. Atmospheric Environment, 2018, 181:1-11.
[3]	马雁军,刘宁微,王扬锋.辽宁中部城市群大气污染分布及典型重污染的成因[J].城市环境与城市生态,2006,19(6):32-35.
[4]	洪也,杨婷,王喜全,等.辽宁中部城市群灰霾污染的外来影响[J].气候与环境研究,2015,20(6):675-684.
[5]	马雁军,刘宁微,王扬锋.辽宁中部城市群大气污染分布及与气象因子的相关分析[J].气象科技,2005,33(6):527-532.
[6]	张建忠,孙瑾,王冠岚,等.北京地区空气质量指数时空分布特征及其与气象条件的关系[J].气象与环境科学,2014,37(1):33-39.
[7]	段云霞,李得勤,田莉,等.沈阳市一次持续性重污染天气过程特征分析[J].干旱气象,2016,34(5):803-810.
[8]	DAVIS R E,KALKSTEIN L S.Using a spatial synoptic climatological classification to assess changes in atmospheric pollution concentrations[J].Physical Geography,1990,11(4):320-342.
[9]	CHOW J C,BACHMANN J D,WIERMAN S S G,et al.Visibility:science and regulation[J].Journal of the Air &WasteManagement Association,2002,52(6):628-713.
[10]	苏福庆,杨明珍,钟继红,等.华北地区天气型对区域大气污染的影响[J].环境科学研究,2004,17(3):16-20.
[11]	刘庆阳,刘艳菊,杨峥,等.北京城郊冬季一次大气重污染过程颗粒物的污染特征[J].环境科学学报,2014,34(1):12-18.
[12]	王郭臣,王珏,信玉洁,等.天津PM₁₀和NO₂输送路径及潜在源区研究[J].中国环境科学,2014,34(12):3009-3016.
[13]	任传斌,吴立新,张媛媛,等.北京城区PM_2.5输送途径与潜在源区贡献的四季差异分析[J].中国环境科学,2016,36(9):2591-2598.
[14]	ZHANG Y Y, LANG J L, CHENG S Y, et al. Chemical composition and sources of PM₁ and PM_2.5 in Beijing in autumn[J].Science of the Total Environment, 2018,630:72-82.
[15]	王茜.利用轨迹模式研究上海大气污染的输送来源[J].环境科学研究,2013,26(4):357-363.
[16]	李莉,蔡鋆琳,周敏.2013年12月中国中东部地区严重灰霾期间上海市颗粒物的输送途径及潜在源区贡献分析[J].环境科学,2015,36(7):2327-2336.
[17]	李正,张昊,叶辉,等.杭州市典型雾霾期污染特征及污染源的HYSPLIT模型分析[J].环境科学学报,2018,38(5):1717-1726.
[18]	王喜全,杨婷,王自发.灰霾污染的跨控制区影响:一次京津冀与东北地区灰霾污染个案分析[J].气候与环境研究,2011,16(6):690-696.
[19]	MMMD,NCAR.Weather research and forecast ARW version 3Modeling systems user's guide[EB/OL]. http://www.mmm.ucar.edu/wrf/users/docs/user-guide-V3/ARWUsers-GuideV3.pdf, 2014-09-01.
[20]	DRAXLER R R,HESS G D.An overview of the HYSPLIT₄ modeling system for trajectories,dispersion,and deposition[J]Process in Materials Science,1998,47:295-308.
[21]	BEGUM B A, KIM E, JEONG C H, et al. Evaluation of the potential source contribution function using the 2002 Quebec forest fire episode[J]. Atmospheric Environment, 2005, 39(20):3719-3724.
[22]	POLISSAR A V, HOPKE P K, HARRIS J M. Source regions for atmospheric aerosol measured at Barrow,Alaska[J]. Environmental Science and Technology, 2001, 35(21):4214-4226.
[23]	HSU Y K, HOLSEN T M, HOPKE P K. Comparison of hybrid receptor models to locate PCB sources in Chicago[J]. Atmospheric Environment, 2003,37(4):545-562.
[24]	LIU N, YE Y, HE J J, et al. Integrated modeling of urban-scalepollutant transport:application in a semi-arid urban valley,northwestern China[J]. Atmospheric Pollution Research, 2013,4(3):306-314.
[25]	王佳音,刘闽,王帅,等.沈阳市一次重污染过程天气特征及成因分析[J].环境保护与循环经济,2019,39(2):58-62.
[26]	贲继东. 长春市空气污染状况与气象条件相关性分析[D].长春:吉林大学,2012.
[27]	洪超. 西安市空气污染特征及重污染天气成因研究[D].兰州:兰州大学,2017.
[28]	LIU X G,CHENG Y F,ZHANG Y H,et al. Influences of relative humidity and particle chemical composition on aerosol scattering properties during the 2006 PRD campaign[J]. Atmospheric Environment,2008, 42(7):1525-1536.
[29]	高嵩,田蓉,郭彬,等.长三角典型城市PM_2.5浓度变化特征及与气象要素的关系[J].科学技术与工程,2018,18(9):142-155.
[30]	周益平,杨云芸,何炜炜,等.衡阳冬季空气重污染过程特征及气象条件分析[J].防灾科技学院学报,2018,20(4):40-51.
[31]	林廷坤,洪礼楠,黄争超,等.北京市秋冬季大气环流型下的气象和污染特征[J].中国环境科学,2019,39(5):1813-1822.
[32]	刘贤,李月臣,何君,等.重庆市冬季PM_2.5输送特征及污染源地解析[J].环境科学与技术,2018,41(9):134-141.
[33]	张晗宇,程水源,姚森,等.2016年10-11月期间北京市大气颗粒物污染特征与传输规律[J].环境科学,2019,40(5):1999-2009.
[34]	杨浩,白永清,刘琳,等.基于轨迹聚类河南地区大气污染过程空气输送通道研究[J].气象与环境学报,2017,33(4):29-39.
[35]	黄俊,廖碧婷,王春林,等.广州市PM_2.5污染特征及潜在贡献源区分析[J].环境科学与技术,2019,42(4):109-118.